Demonstration of Energy Consumption Reduction in Class 8 Trucks Using Eco-Driving Algorithm Based on On-Road Testing
- Delivery
- Provide download link
- Format
- Price
- Non-members (tax incl.)：￥6,600 Members (tax incl.)：￥5,280
- Paper/Info type
- SAE Paper
No.2022-01-0139
- Pages
- 1-9(Total 9 p)
- Date of publication
- Mar 2022
- Publisher
- SAE International
- Language
- English
- Event
- WCX SAE World Congress Experience 2022
Detailed Information
| Author(E) | 1) Piyush Bhagdikar, 2) Stanislav Gankov, 3) Cole Frazier, 4) Sankar Rengarajan, 5) Rebecca Warden, 6) Michael Brown, 7) Jayant Sarlashkar |
|---|---|
| Affiliation(E) | 1) Southwest Research Institute, 2) Southwest Research Institute, 3) Southwest Research Institute, 4) Southwest Research Institute, 5) Southwest Research Institute, 6) Southwest Research Institute, 7) Southwest Research Institute |
| Abstract(E) | Vehicle to Everything (V2X) communication has enabled on-board access to information from other vehicles and infrastructure. This information, traditionally used for safety applications, is increasingly being used for improving vehicle fuel economy. This work aims to demonstrate energy consumption reductions in heavy/medium duty vehicles using an eco-driving algorithm. The algorithm is enabled by V2X communication and uses data contained in Basic Safety Messages (BSMs) and Signal Phase and Timing (SPaT) to generate an energy-efficient velocity trajectory for the vehicle to follow. An urban corridor was modeled in a microscopic traffic simulation package and was calibrated to match real-world traffic conditions. A nominal reduction of 7% in energy consumption and 6% in trip time was observed in simulations of eco-driving trucks. Next, track testing of representative velocity profiles was executed based on SAE J1321 recommended practices, which showed good agreement with simulation results. The team also went through an exercise to understand the achievable upper bounds on energy consumption benefits based on a drive cycle synthesized by National Renewable Energy Laboratory (NREL) for Port Drayage application. The velocity trajectory generation using a calibrated traffic simulation, use of offline smoothing routines to understand upper bounds, and track testing based on J1321 procedures contribute towards the novelty of this work. |
